Access the full text.
Sign up today, get DeepDyve free for 14 days.
Seock-Ho Kim, A. Cohen (1995)
A Comparison of Lord's Chi-Square, Raju's Area Measures, and the Likelihood Ratio Test on Detection of Differential Item FunctioningApplied Measurement in Education, 8
D. Bolt, R. Hare, Jennifer Vitale, J. Newman (2004)
A multigroup item response theory analysis of the psychopathy checklist--revised.Psychological assessment, 16 2
Robert Ankenmann, E. Witt, Stephen Dunbar (1999)
An Investigation of the Power of the Likelihood Ratio Goodness-of-Fit Statistic in Detecting Differential Item Functioning.Journal of Educational Measurement, 36
Li Cai (2008)
SEM of another flavour: two new applications of the supplemented EM algorithm.The British journal of mathematical and statistical psychology, 61 Pt 2
T. Rodebaugh, Carol Woods, R. Heimberg, M. Liebowitz, F. Schneier (2006)
The factor structure and screening utility of the Social Interaction Anxiety Scale.Psychological assessment, 18 2
B. Muthén (1985)
A Method for Studying the Homogeneity of Test Items with Respect to Other Relevant VariablesJournal of Educational Statistics, 10
F. Samejima (1997)
Graded Response Model
A. Cohen, Seock-Ho Kim, James Wollack (1996)
An Investigation of the Likelihood Ratio Test For Detection of Differential Item FunctioningApplied Psychological Measurement, 20
D. Thissen, L. Steinberg, H. Wainer (1988)
Use of item response theory in the study of group differences in trace lines.
Lynne Steinberg (2001)
The consequences of pairing questions: context effects in personality measurement.Journal of personality and social psychology, 81 2
Seock-Ho Kim, A. Cohen, T. Park (1995)
Detection of Differential Item Functioning in Multiple Groups.Journal of Educational Measurement, 32
(2001)
IRTLRDIF v2.0b: Software for the computation of the statistics involved in item response theory likelihood-ratio tests for differential item functioning [Computer program
(1996)
A Monte-Carlo investigation of the likelihood-ratio procedure in the detection of differential item functioning (Unpublished doctoral dissertation)
Gregory Camilli, L. Shepard (1994)
Methods for Identifying Biased Test Items
F. Lord (1980)
Applications of Item Response Theory To Practical Testing Problems
Carol Woods (2009)
Empirical Selection of Anchors for Tests of Differential Item FunctioningApplied Psychological Measurement, 33
B. Muthén (1989)
Latent variable modeling in heterogeneous populationsPsychometrika, 54
J. Donoghue, Steven Isham (1998)
A Comparison of Procedures to Detect Item Parameter DriftApplied Psychological Measurement, 22
M. Langer (2008)
A reexamination of Lord's Wald test for differential item functioning using item response theory and modern error estimation
A. Wald (1943)
Tests of statistical hypotheses concerning several parameters when the number of observations is largeTransactions of the American Mathematical Society, 54
D. Bolt (2002)
A Monte Carlo Comparison of Parametric and Nonparametric Polytomous DIF Detection MethodsApplied Measurement in Education, 15
(2011)
IRTPRO: Flexible, multidimensional, multiple categorical IRT modeling
(2001)
IRTLRDIF v2.0b: Software for the computation of the statistics involved in item response theory likelihood-ratio tests for differential item functioning
(2011)
which test for nonuniform DIF, will likely become more readily estimable, and then a comparison between them and Wald testing will be important
R. Lim, F. Drasgow (1990)
Evaluation of Two Methods for Estimating Item Response Theory Parameters When Assessing Differential Item FunctioningJournal of Applied Psychology, 75
G. Mellenbergh (1989)
Item bias and item response theoryInternational Journal of Educational Research, 13
M. Stocking, F. Lord (1982)
Developing a Common Metric in Item Response TheoryApplied Psychological Measurement, 7
(2012)
flexMIRT: Flexible multilevel item factor analysis and test scoring [Computer software
G. Somes (1986)
The Generalized Mantel–Haenszel StatisticThe American Statistician, 40
D. Thissen, L. Steinberg, M. Gerrard (1986)
Beyond group-mean differences: The concept of item bias.Psychological Bulletin, 99
Seock-Ho Kim, A. Cohen, Haewon Kim (1994)
An Investigation of Lord's Procedure for the Detection of Differential Item FunctioningApplied Psychological Measurement, 18
(2011)
IRTPRO: Flexible, multidimensional, multiple categorical IRT modeling [Computer software
Stephen Stark, O. Chernyshenko, F. Drasgow (2006)
Detecting differential item functioning with confirmatory factor analysis and item response theory: toward a unified strategy.The Journal of applied psychology, 91 6
R. Bock, M. Aitkin (1981)
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithmPsychometrika, 46
R. Zwick, J. Donoghue, Angela Grima (1993)
Assessment of Differential Item Functioning for Performance TasksJournal of Educational Measurement, 30
C. Huang, A. Church, M. Katigbak (1997)
Identifying Cultural Differences in Items and TraitsJournal of Cross-Cultural Psychology, 28
Carol Woods, Kevin Grimm (2011)
Testing for Nonuniform Differential Item Functioning With Multiple Indicator Multiple Cause ModelsApplied Psychological Measurement, 35
R. Bock, M. Aitkin (1982)
Marginal maximum likelihood estimation of item parametersPsychometrika, 47
Seock-Ho Kim, A. Cohen (1998)
Detection of Differential Item Functioning Under the Graded Response Model With the Likelihood Ratio TestApplied Psychological Measurement, 22
R. Mokken (1997)
Handbook of modern item response theorySpringer US
M. Mclaughlin, F. Drasgow (1987)
Lord's Chi-Square Test of Item Bias With Estimated and With Known Person ParametersApplied Psychological Measurement, 11
K. Ryan (1997)
Methods for identifying biased test itemsEvaluation Practice, 18
D. Thissen, L. Steinberg, H. Wainer (1993)
Detection of differential item functioning using the parameters of item response models.
(2012)
flexMIRT: Flexible multilevel item factor analysis and test scoring
K. Chan, M. Orlando, B. Ghosh-Dastidar, N. Duan, C. Sherbourne (2004)
The Interview Mode Effect on the Center for Epidemiological Studies Depression (CES-D) Scale: An Item Response Theory AnalysisMedical Care, 42
Wen-Chung Wang, Ya-Li Yeh (2003)
Effects of Anchor Item Methods on Differential Item Functioning Detection with the Likelihood Ratio TestApplied Psychological Measurement, 27
F. Samejima (1968)
Estimation of latent ability using a response pattern of graded scoresPsychometrika, 34
Wen-Chung Wang (2004)
Effects of Anchor Item Methods on the Detection of Differential Item Functioning Within the Family of Rasch ModelsThe Journal of Experimental Education, 72
X. Meng, D. Rubin (1991)
Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM AlgorithmJournal of the American Statistical Association, 86
Differential item functioning (DIF) occurs when the probability of responding in a particular category to an item differs for members of different groups who are matched on the construct being measured. The identification of DIF is important for valid measurement. This research evaluates an improved version of Lord’s χ2 Wald test for comparing item response model parameter estimates between two groups. The improved version uses better approaches for computation of the covariance matrix and equating the item parameters across groups. There are two equating algorithms implemented in IRTPro and flexMIRT software: Wald-1 (one-stage) and Wald-2 (two-stage), only one of which has been studied in simulations before. The present study evaluates for the first time the Wald-1 algorithm and Wald-1 and Wald-2 for three groups simultaneously. A comparison to two-group IRT-LR-DIF is included. Results indicate that Wald-1 performs very well and is recommended, whereas Type I error is extremely inflated for Wald-2. Performance of IRT-LR-DIF and Wald-1 was similar, even for three groups.
Educational and Psychological Measurement – SAGE
Published: Jun 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.